title: The probability of extinction in a bovine respiratory syncytial virus epidemic model.
abstract: Backward bifurcation is a relatively recent yet well-studied phenomenon associated with deterministic epidemic models. It allows for the presence of multiple subcritical endemic equilibria, and is generally found only in models possessing a reasonable degree of complexity. One particular aspect of backward bifurcation that appears to have been virtually overlooked in the literature is the potential influence its presence might have on the behaviour of any analogous stochastic model. Indeed, the primary aim of this paper is to investigate this possibility. Our approach is to compare the theoretical probabilities of extinction, calculated via a particular stochastic formulation of a deterministic model exhibiting backward bifurcation, with those obtained from a series of stochastic simulations. We have found some interesting links in the behaviour between the deterministic and stochastic models, and are able to offer plausible explanations for our observations.
authors.affiliation: Department of Mathematics and Statistics, University of Strathclyde, Livingstone Tower, 26 Richmond Street, Glasgow G1 1XH, UK. martin.griffiths@manchester.ac.uk
authors.forename: Martin
authors.initials: M
authors.lastname: Griffiths
authors.forename: David
authors.initials: D
authors.lastname: Greenhalgh
mesh_terms: D000818:Animals; D002417:Cattle; D002418:Cattle Diseases / Q000453:epidemiology / Q000821:virology*; D003198:Computer Simulation; D004196:Disease Outbreaks / Q000662:veterinary*; D008954:Models, Biological; D018357:Respiratory Syncytial Virus Infections / Q000662:veterinary* / Q000821:virology; D018112:Respiratory Syncytial Virus, Bovine / Q000254:growth & development*